Application of Generative Artificial Intelligence for Physician and Patient Oncology Letters-AI-OncLetters.

Journal: JCO clinical cancer informatics
PMID: 40315407

Abstract

PURPOSE: Although large language models (LLMs) are increasingly used in clinical practice, formal assessments of their quality, accuracy, and effectiveness in medical oncology remain limited. We aimed to evaluate the ability of ChatGPT, an LLM, to generate physician and patient letters from clinical case notes.

Authors

  • Adel Shahnam
    Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Udit Nindra
    Department of Medical Oncology, Liverpool Hospital, Sydney, NSW, Australia.
  • Nadia Hitchen
    Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Joanne Tang
    Department of Medical Oncology, Liverpool Hospital, Sydney, NSW, Australia.
  • Martin Hong
    Department of Medical Oncology, Liverpool Hospital, Sydney, NSW, Australia.
  • Jun Hee Hong
    Department of Medical Oncology, Liverpool Hospital, Sydney, NSW, Australia.
  • George Au-Yeung
    Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Wei Chua
    Department of Medical Oncology, Liverpool Hospital, Sydney, NSW, Australia.
  • Weng Ng
    Department of Medical Oncology, Liverpool Hospital, Sydney, NSW, Australia.
  • Ashley M Hopkins
    Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
  • Michael J Sorich
    Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

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